TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
( | |
(on-board)activities | |
3 | |
3PL SMEs | |
A | |
ABM | |
Acceoptance | |
Acceptance | |
accessibility | |
active transportation | |
active travel | |
activity | |
Activity based models | |
activity diary | |
Activity engagement | |
activity participation | |
activity pattern | |
Activity pattern based non-worker clusters | |
Activity priority | |
Activity Scheduling | |
Activity Time Use | |
activity time-use | |
Activity-based approach | |
Activity-based model | |
Activity-based modeling | |
Activity-based models | |
Activity-travel Behavior | |
Activity-Travel Pattern | |
activity-travel survey | |
Actvity scheduling | |
Adaptive routing | |
Adoption | |
Adoption behavior | |
adult activity-travel behavior | |
age-period-cohort analysis | |
Ageing | |
agent mobility simulation | |
agent-based | |
Agent-based Microsimulation | |
Agent-based simulation | |
Aging society | |
AirBnB | |
Airport access mode choice | |
AirSage | |
Alaska | |
Alternative Decision Rules | |
Alternative fuel vehicles | |
alternative-fuel vehicles | |
alternative-specific constant | |
Anticipation | |
Artificial neural network | |
Artificial Neural Networks | |
attitude | |
Attitudes | |
Attitudes and perceptions | |
attitudes to cars | |
Attitudes towards modes | |
Attitudes-Behavior relationship | |
attribute importance | |
auto dependency | |
Automated Fare Collection Systems | |
Automated household travel survey | |
Automated Travel | |
automated vehicles | |
autonomous driving | |
Autonomous Shuttle | |
autonomous trucks | |
autonomous vehicle | |
Autonomous Vehicles | |
B | |
Bandung | |
Bayesian Decision Network | |
Bayesian estimation | |
Bayesian inference | |
Behavior | |
Behavior change | |
behavior dynamics | |
behavioral context inference | |
behavioral intention | |
Behavioral Land Use Modeling | |
Behavioral model | |
behaviour change | |
behavioural analysis | |
behavioural change | |
Behavioural Persistence | |
Beijing | |
best-worst | |
BEV | |
Bicycle | |
bicycling | |
Big Data | |
Big Five | |
Bike route choices | |
Bike Sharing | |
Bike Sharing Scheme | |
Bike-Sharing | |
bounded rationality | |
brain | |
Broadband | |
built environment | |
built envrionment | |
C | |
capacity problem | |
Car availability | |
Car following | |
car ownership | |
Car ownership and usage | |
Car sharing | |
car use | |
car use model | |
Car-following | |
Car-ownership | |
Car-sharing | |
Carsharing | |
Causal relationships | |
causality | |
CDR | |
Cellphone data | |
Challenge and rewards | |
change job | |
Charging behavior | |
charging infrastructure | |
Charging Stations | |
Chauffeur | |
child escorting | |
Childhood Experience | |
childhood experiences | |
children | |
Children’s life satisfaction | |
Children’s travel | |
China | |
Chinese Spring Festival | |
Choice behaviour | |
Choice model | |
Choice Modeling | |
Choice Modelling | |
Choice sequencing structure | |
Choice set | |
cities | |
classification | |
Climate Change Adaptation | |
cluster analysis | |
Cluster-based Multivariate Probit Model | |
co-creation | |
Cohort and period effects | |
collective model | |
commute duration | |
commute mode | |
commuting | |
Commuting distance | |
Comparison of generations | |
Compensatory | |
Complexity of the choice task | |
Composite Likelihood (CL) | |
Composite marginal likelihood | |
conceptual model | |
Conflict Resolution | |
Congestion | |
congestion effect | |
Connected and autonomous vehicle environment | |
Connectivity | |
Consideration of alternatives | |
Consideration of the alternatives | |
consideration set | |
Consumer behaviour | |
consumer preferences | |
Consumer-Citizen duality | |
context effects | |
Context-aware stated preferences | |
context-dependence | |
contextual bandit algorithm | |
continuous target based model | |
convergence | |
cooperative route choice behaviour | |
Copula based methods | |
copula based random draws | |
core values | |
Cost-Benefit Analysis | |
costumer | |
count model | |
cross-nested logit model | |
Crossing behavior | |
Crowd-shipping | |
Crowding level | |
cultural differences | |
Customer satisfaction | |
Customized bus | |
cycling | |
D | |
D-efficient stated preference experiment design | |
Daily activity-travel pattern | |
Daily and long-distance travel | |
daily mobility | |
daily mobility behaviour | |
daily travel | |
data fusion | |
Data mining | |
Day-to-day learning and adjustment | |
day-to-day variability | |
Decision context | |
Decision Making | |
Decision rule | |
Decision rule heterogeneity | |
Decision rules | |
Decision Tree | |
Decision-making process | |
Deep Learning | |
Delivery | |
Demand analysis | |
Demand forecast | |
demand modelling | |
Departure choice | |
Departure time choice | |
Depopulation | |
destination choice | |
Developing Countries | |
Diffusion | |
Digital activities | |
disaggregate demand | |
Disaggregate Model | |
disaggregation | |
discrete choice | |
Discrete choice modelling | |
discrete choice models | |
Discrete continuous | |
discrete-continuous choice | |
Discrete-continuous choice model | |
discrete-continuous choice models | |
discrete-continuous maximum likelihood | |
Discretionary-activity tour | |
disposable income | |
Driver Behavior and Cognition | |
Driver behaviour | |
Driver Cognition | |
Driverless cars | |
Driving behaviour | |
driving cessation | |
Driving Simulator | |
Driving simulator experiments | |
Driving stress | |
DTA | |
Dual-worker households | |
Duration modeling | |
Duration of respondent participation | |
Dwell Time | |
Dynamic analysis | |
dynamic assortment optimization | |
dynamic bayesian network | |
Dynamic Discrete Choice Model | |
Dynamic effects | |
Dynamic Mixed Logit | |
Dynamic models | |
dynamic ride-sharing | |
Dynamic Ridesharing | |
Dynamic traffic assignment | |
Dynamical Heterogeneity | |
dynamics | |
E | |
e-bicycle use | |
e-cycling | |
early adopters | |
Econometric Modeling | |
econometrics | |
EEG | |
Effect of consequentiality on traveller’s behaviour | |
efficient designs | |
Ego | |
egocentric network approach | |
Elderly | |
Elderly Well-being | |
Electric vehicle | |
Electric Vehicles | |
Electrical Engines | |
Elissa | |
EMA | |
emotions | |
En-route choice | |
End-to-End dynamic routing | |
Endogeneity | |
Endogeneity in discrete choice model | |
energy and water consumption | |
equivalised income | |
error component three stage least squares | |
Error quantification | |
Evolution of willingness to pay | |
Expanded Path Size Logit | |
Experimental Design | |
experimental techniques | |
Exploratory modeling and analysis | |
Express Lanes | |
expressway driver's decision on stopover at rest areas | |
Expressway toll collection data | |
eye-tracking | |
F | |
facilitating conditions | |
factor analysis | |
Fake | |
fast-charging | |
FCD data | |
Ferry oriented Development | |
field experiment | |
Fit | |
fleet simulation | |
Flexible Work | |
fMRI | |
Forecasting | |
Four-Step Approach | |
Four-step Model | |
Free Floating Car Sharing | |
free-floating car sharing | |
Freight Behaviour | |
Freight Forwarders | |
Frequency of Use | |
Fully compensatory choices | |
Future life choices | |
future mobility services | |
Fuzzy-logic Method | |
G | |
Garin-Lowry Land Use Model | |
gaussian process regression | |
Gender | |
Generalised travel cost | |
generalized estimation equations | |
generalized linear mixed model | |
generalized structural equation model | |
Generation Y | |
Generation Z | |
Generational Cohorts | |
generational difference | |
Generative modelling | |
GHDM | |
GHG-emissions | |
GIS | |
goodness-of-fit | |
GPS | |
GPS data | |
GPS surveys | |
GPS-based travel survey | |
Greater Toronto-Hamilton Area | |
green lifestyle | |
grocery shopping | |
gross income | |
GSM data | |
H | |
happiness | |
hard measures | |
Headway irregularity | |
heterogeneity | |
Heterogeneous Residential Preferences | |
heuristic | |
hidden Markov model | |
Hierarchical Dynamic Linear Models | |
Hierarchical ICLV model | |
Hierarchical Latent Variable | |
Highways | |
Holiday activity-travel decision | |
household decision-making | |
household interaction | |
Household interactions | |
household travel surveys | |
household-serving trips | |
human behaviour | |
Human interaction | |
Hurdle models | |
hybrid choice model | |
Hybrid choice models | |
hybrid discrete choice model | |
Hybrid Discrete Choice models | |
hybrid vehicles | |
I | |
IATBR | |
ICT | |
ICT adoption | |
ICTs | |
identifiability | |
idle vehicle relocation | |
Images | |
Immersive images | |
immigrant women | |
immobile | |
Immobility | |
Importance of Reliability | |
In-vehicle activity | |
Incentive policies | |
Incentives | |
Income elasticity | |
Indonesia | |
inequalities | |
Infrastructure planning | |
innovation adoption | |
Integrated Choice and Latent Variable Model | |
Integrated Choice and Latent Variable Model (ICLV) | |
Integrated choice and latent variable modeling | |
Integrated Land Use and Transportation Modeling | |
integrated transportation-land use modeling | |
interaction modes and frequencies | |
interaction terms | |
Interactions | |
Intercept Survey | |
International Conference on Travel Behavior Research | |
intervention | |
intra household interaction | |
Intra-household interactions | |
Intra-household vehicle assignment | |
Intra-respondent preference heterogeneity | |
inverse reinforcement learning | |
J | |
Jakarta metropolitan area | |
Japan | |
Japanese young people | |
Joint continuous discrete model | |
Joint model | |
Joint RP-SP choice model | |
Joint Travel | |
K | |
key decision determinants | |
key event | |
L | |
land use | |
Land use patterns | |
land use-travel connection | |
Land-use impact | |
Large Scale Applications | |
Latent behaviour | |
Latent Choice Sets | |
Latent class | |
Latent class analysis | |
latent class choice model | |
Latent Class Model | |
Latent class models | |
Latent Class with Distal Outcome | |
Latent Class Zero-Inflated Ordered Probit | |
Latent Dirichlet Allocation | |
Latent Factors | |
Latent segmentation | |
Latent segmentation-based random parameter logit model (LSRPL) | |
Latent Variable | |
Latent Variable Choice Model | |
Latent Variables | |
Lean Thinking | |
learning | |
Leisure time | |
leisure travel | |
Level of Service | |
life choices | |
life course approach | |
Life course mobility | |
Life Event | |
life events | |
life-oriented approach | |
Life-stage Transition | |
lifecycle stages | |
lifestyle | |
Likert Scales | |
Living environment | |
Living lab | |
Local interaction | |
Location choice | |
log-likelihood linearization | |
Logic model | |
Logistic Regression | |
Logit | |
long distance travel demand | |
long term simulation | |
long-distance travel | |
Long-term analysis | |
Long-term choices | |
longitudinal | |
Longitudinal travel survey | |
loss aversion | |
M | |
machine learning | |
Machine learning classifier | |
Mandatory-activity tour | |
market segmentation analysis | |
market segmentation and location choice modeling | |
matching | |
Mathematical Programming with Equilibrium Constraints-based approach | |
MATSim | |
MDCEV | |
measurement | |
Measurement error models | |
Member Recruitment | |
meta-modeling | |
Micro Public Transport Environments | |
microscopic travel demand simulation | |
Millenials and cohort effects | |
Millennial behavior | |
Millennials | |
mixed integer linear program | |
mixed integer linear programming | |
Mixed Logit | |
mixed logit models | |
mixed methods | |
Mixed multinomial logit model (MXL) | |
Mixed traffic streams | |
Mixed User Equilibrium | |
mixed-methods approach | |
mobile internet usage | |
mobile phone data | |
Mobile phone user distribution data | |
Mobile Positioning | |
Mobile Settings | |
mobility | |
mobility analysis | |
Mobility and accessibility | |
Mobility as a Service (MaaS) | |
mobility attitudes | |
Mobility behaviour | |
Mobility biographies | |
mobility handicapped persons | |
Mobility Indicators | |
Mobility options | |
Mobility pattern | |
Mobility tool ownership | |
mobility tools | |
mobility types | |
Mobility-on-Demand | |
mobility-on-demand preferences | |
modal choice | |
Modal choice model | |
modal shift potential | |
Mode and path choice | |
mode change | |
mode choice | |
Mode choice behavior | |
Mode choice data | |
mode choice model | |
mode choice modeling | |
Mode detection | |
mode-use propensity | |
Model averaging | |
Model complexity | |
Model Identification | |
Model Sensitivity | |
modeling and simulation of individual mobility patterns | |
Modelling | |
Models | |
Monetary constraint | |
Mono and Multimodality | |
moral consciousness | |
move home | |
Multi-Alternative and multi-Attribute Choice Sets | |
multi-day surveys | |
Multi-domain decision Interactions | |
Multi-linear utility | |
Multi-Modal | |
Multi-modal routing | |
Multi-week activity diary data | |
multidimensional behavior | |
Multilevel structural equation modeling | |
multimodal | |
multimodal choice model | |
Multimodal path choice | |
multimodal route choice | |
Multimodal transit network | |
Multimodality | |
multinomial discrete choice models | |
Multinomial Logit | |
Multiple constraints | |
Multiple Discrete and Continuous | |
Multiple Discrete continuous choices | |
Multiple discrete continuous extreme value model (MDCEV) | |
Multiple discreteness | |
multiple heuristics | |
Multitasking | |
multitasking attitudes and behaviors | |
Multivariate Analysis | |
Multivariate count data | |
multivariate count modeling | |
multivariate probit | |
N | |
name generators | |
Narcissism | |
National Travel Survey | |
nationwide trade flow patterns | |
Naturalistic Experiment | |
navigation preferences | |
neighborhood effect | |
Neighborhood planning | |
Netherlands Mobility Panel | |
Network externality | |
Network modeling | |
Neural Network | |
New Generation | |
New York City | |
newly developed cities | |
No-notice evacuation | |
non-compensatory | |
non-motorized transportation | |
non-separable problem | |
Norms | |
Nova Scotia Travel Activity (NovaTRAC) Survey | |
NTS | |
Nudging applications | |
O | |
off-highway vehicles | |
older people | |
on-board activities | |
On-Demand Mobility | |
one year | |
open data | |
Open-ended questions | |
operational cycling behavior | |
Optimization | |
ordered model | |
Ordinal Logistic Regression Analysis | |
Organization-based | |
Orlando | |
ownership | |
P | |
panel | |
Panel Count Models | |
panel data | |
Parking | |
parking pricing | |
Parking search time | |
partial choice sets | |
Partitioning of effects | |
Passenger Behaviour | |
Passenger Information Systems | |
Passive data | |
Passive data streams | |
past and current travel behavior on future travel behavior | |
past experience on current travel behavior | |
Pattern Recognition | |
peak car | |
Pedestrian | |
Pedestrian behaviour | |
Pedestrian level of service | |
Pedestrians | |
Peer-to-peer delivery | |
Perceived accessibility | |
perceived ease of IC | |
perceived usefulness of ICT | |
Perception | |
Perceptions | |
personalized | |
persuasive strategies | |
PEV market penetration | |
PHEV | |
Physiological responses | |
Port Container Terminals | |
Portfolio choice | |
Positive Utility of Travel | |
Post-Evaluation | |
preference heterogeneity | |
preference pattern | |
Pricing | |
principal component analysis | |
privacy | |
Private car | |
Probe person data | |
Probit model | |
Process Orientation | |
Process rules | |
Productivity | |
prospect theory | |
Psychometric Indicators | |
Psychometric Scales | |
Psychophysiological Analysis | |
Public acceptability | |
Public acceptance | |
Public Bicycles | |
Public Bike Scheme | |
Public spaces | |
public transport | |
Public transport satisfaction | |
Public transport smart-card data | |
Public Transportation | |
Q | |
Q-methodology | |
Qingdao International Horticultural Exposition | |
qualitative research | |
Quality of Life | |
Quantification | |
Quantum Probability | |
R | |
Rail | |
Rail factor | |
Random forest | |
Random forest model | |
random regret minimisation | |
Random regret minimization | |
random utility maximisation | |
Randomised Controlled Trial | |
Rank ordered logit | |
Rank ordered model | |
Ranked data | |
Real Time Information | |
Real-time Travel Information | |
reasoning | |
Recently moved residents | |
Recommendation systems | |
recommender system | |
recursive logit | |
reducing choice task complexity | |
reference dependence | |
reference point | |
Regional transit | |
Renting | |
repeated crosssectional data | |
residence/activity area | |
Residential Location | |
Residential Location Choice | |
Residential relocation | |
residential self-selection | |
Resource allocation model | |
Restricted Boltzmann Machine | |
Retrospective longitudinal data | |
revealed-preference data | |
rewards | |
Ride hailing | |
Ridehailing | |
Ridesharing | |
risk | |
risk analysis | |
Risk Attitude | |
risk perception | |
road pricing | |
Role of attitudes | |
route choice | |
Route Choice Behavior | |
route choice behaviour | |
Route choice modeling | |
Routing policy | |
RP Value of Time | |
Rule-based activity scheduling | |
S | |
safety | |
Safety perceptions | |
Sample Size | |
satisfaction | |
Satisfaction with Travel Scale | |
School travel | |
scope of business | |
Self-driving Cars | |
Self-reported indicators | |
self-selection | |
SEM | |
Semantic | |
semi-compensatory | |
semiparemetric | |
Sense of Place | |
Sequential Data Clustering | |
service | |
shared autonomous vehicle | |
Shared autonomous vehicles | |
Shared Mobility | |
Shared System Demand | |
Shared-ride taxi | |
Sharing Economy | |
Shuttle | |
SIDS | |
Simplex | |
simulated maximum likelihood | |
simulation | |
Simultaneous probit model | |
skill | |
Smart mobility | |
Smartcard data | |
Smartphone | |
smartphone application | |
Smartphone apps | |
smartphone travel survey | |
Smartphone travel surveys | |
smartphone-based GPS tracking | |
smartphone-based surveys | |
Social acceptability | |
Social Influence | |
Social interaction effect | |
social interaction model | |
social media | |
Social network | |
Social network formation | |
social networks | |
social routing advice | |
Socialization | |
Soft intervention | |
soft measures | |
Soft refusal | |
Solo travel | |
SP-off-RP survey | |
Spatial choice | |
spatial input-output model | |
spatial model | |
Spatial-temporal regularity | |
State dependence | |
State-dependence | |
Stated Adaptation | |
stated choice | |
stated choice experiments | |
Stated choice preference | |
stated preference | |
Stated preference data | |
Stated preference study | |
Stated preference survey | |
stated-preference survey | |
Statistical analysis | |
Stats | |
stay-point detection | |
Stochastic time-dependent network | |
Stockholm | |
structural equation modeling | |
Structural Equation Modelling | |
structural equation models | |
Subjective well-being | |
subjective wellbeing | |
substitution | |
Super-network platform | |
supply | |
Supply modeling | |
Survey methodology | |
sustainable transport | |
sustainable transportation | |
T | |
Task-based approach | |
taste heterogeneity / variation | |
TDM | |
Technology adoption | |
teleportation door | |
Telework | |
temporal utility profiles | |
Test | |
Theory Development | |
Theory of Planned Behavior | |
Theory of Planned Behaviour (TPB) | |
thresholds of change | |
Thresholds on attributes | |
ticket purchase | |
Time - use decisions | |
time allocation | |
Time availability | |
Time of travel choice | |
Time use | |
Time use and activity-travel patterns | |
time utility model | |
time-expanded network | |
time-use model | |
Toll road | |
Topic Modelling | |
Tour formation | |
Tour-based accompanying travel choice | |
Tour-level participation and time allocation | |
Tourism | |
Tourism travel behavior | |
tours | |
traffic assignment | |
Traffic Behaviour | |
traffic incident management | |
train travel | |
Trajectories | |
trajectory pattern | |
Transit | |
transit data | |
Transit itinerary inference | |
Transit network | |
transit ridership | |
Transit travel behavior | |
Transit use | |
Transition Matrix | |
Transmilenio | |
Transport Appraisal | |
transport emission model | |
Transport mode choice | |
Transport policy | |
Transportation | |
Transportation network analysis | |
transportation survey | |
transportation system | |
Transtheoretical Model | |
trauma data | |
Travel attitudes | |
travel behavior | |
Travel behavior analysis | |
Travel behavior modeling | |
travel behavior of commuters | |
Travel behaviour | |
travel behaviour change | |
Travel Behaviour Theory | |
travel data collection | |
travel decision | |
travel demand | |
Travel Demand Forecast | |
Travel Demand Management | |
Travel Demand Model | |
travel diary | |
travel information | |
Travel mode choice | |
Travel mode detection | |
Travel mode preferences | |
travel satisfaction | |
Travel Survey | |
Travel survey method | |
travel survey methods | |
travel surveys | |
Travel time | |
Travel time estimates | |
travel time perception | |
Travel time use | |
Traveler assignment | |
Traveller Attitudes | |
Trip chain complexity | |
Trip chaining behaviour | |
trip characteristics | |
Trip information | |
Trip purpose detection | |
Trip purpose inference | |
Truck routes | |
Truthful Mechanism | |
Two-Step Rewards | |
U | |
Uber and Lyft | |
Ubiquitous real-time passenger information | |
UK | |
uncertainty | |
underserved populations | |
Unobserved preferences | |
Urban data fusion | |
Urban Freight | |
urban mobility | |
urban structure | |
Usage Patterns | |
User behavior | |
User Compliance | |
Users | |
utility estimation | |
Utility-maximization | |
Utilization Rate | |
V | |
Validity and reliability | |
value | |
Value learning | |
value of activities | |
Value of leisure | |
Value of Statistical Life | |
Value of Time | |
value of time assigned to travel | |
Value of Travel Time (VTT) | |
value of travel time savings | |
Values | |
variability | |
variable message systems | |
Variable Selection | |
Vehicle allocation | |
vehicle demand | |
Vehicle Miles Traveled | |
Vehicle ownership | |
Vehicle replacement | |
Vehicle Transaction | |
VGI | |
Vickrey-Groves-Clarke | |
Virtual immersive reality laboratory experiment | |
virtual reality | |
visitor spatio-temporal behavior | |
VMT | |
W | |
waiting attitudes | |
Waiting time | |
walkability | |
Walking | |
Water Transit | |
Wayfinding behaviour | |
weather conditions | |
Weekly time horizon | |
well-being | |
Wi-Fi based monitoring | |
WiFi data | |
Wilcox Transformation | |
Willingness to Pay | |
Willingness to share | |
Y | |
Yogyakarta | |
Young adult | |
Young adults | |
Z | |
Zero Occupancy Vehicle |